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Anomaly detection in an ecological feature space to improve the accuracy of human activity identification in buildings
Author(s) -
Ilona M. Kulikovskikh
Publication year - 2017
Publication title -
kompʹûternaâ optika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.491
H-Index - 29
eISSN - 2412-6179
pISSN - 0134-2452
DOI - 10.18287/2412-6179-2017-41-1-126-133
Subject(s) - anomaly detection , outlier , consistency (knowledge bases) , identification (biology) , logistic regression , anomaly (physics) , feature (linguistics) , feature vector , separable space , pattern recognition (psychology) , computer science , artificial intelligence , space (punctuation) , data mining , machine learning , mathematics , ecology , mathematical analysis , linguistics , philosophy , physics , condensed matter physics , biology , operating system

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